Machine Learning for Beginners vs Art of Stat

Machine Learning For Beginners also known as AI & ML Tutor is the offline study app for professionals getting certified in artificial intelligence and machine learning and staying employable while the field moves. 41 certifications and 2,153 practice questions. The first 30 of every certification, 1,008 in all, are free. One in-app purchase unlocks the rest and all 18 interactive labs. WHAT'S INSIDE AWS (11 tracks) AWS Certified Machine Learning Specialty, AI Practitioner, Machine Learning Engineer Associate, Generative AI Developer Professional, Data Engineer Associate, Advanced Networking Specialty, plus focused sets on data engineering, exploratory data analysis, modeling, and implementation and operations. Google Cloud (3 tracks) Professional Machine Learning Engineer, Generative AI Leader, and GCP ML implementation and operations. Microsoft Azure (2 tracks) Azure AI Fundamentals and Azure AI Apps and Agents Developer. NVIDIA and Databricks (8 tracks) NCA-GENL, NCA-AIIO, NCA-GENM, NCP-GENL, NCP-AIOL, NCP-AII, NCP-AIN, and the Databricks Generative AI Engineer Associate. Claude, OpenAI and agents (5 tracks) Claude Certified Associate, Developer, Architect Foundations and Architect Professional, plus an OpenAI API & Agents skills bank. MLOps and foundations (12 tracks) MLOps and AIOps across all three clouds, plus machine learning, deep learning, neural networks, NLP, generative AI and explainable AI. INTERACTIVE LABS Most study apps show you a diagram. These let you move it. Sweep an input through ReLU, sigmoid and tanh and watch the dying-ReLU flat zone appear. Step a ball down a loss curve, then push the learning rate past 1.0 and watch it diverge. Drag a query point across a k-NN decision boundary and see the vote flip. Tap "it" in a sentence and watch self-attention land on "laptop". Shrink an autoencoder bottleneck until the reconstruction blurs. Turn retrieval off in a RAG pipeline and watch a confident, wrong answer appear. Eighteen labs in total. All of them run on your device with no connection. BUILT FOR HOW PEOPLE ACTUALLY STUDY - Five-minute sessions. Choose 5, 10 or 15 questions instead of grinding through a 152-question bank you'll never finish in one sitting. - Every option explained. Most apps tell you the right answer. This one explains all of them, so a wrong guess still teaches you something. - A review queue that adapts. Missed questions come back automatically and leave once you've got them right. - Progress you can see. Daily streak, best score per certification, questions answered, and how many are still waiting for review. - Works on a plane. Every question ships inside the app. MORE THAN A QUESTION BANK The Briefing tab keeps you current between study sessions: AI Daily News, the DjamgaMind podcast playable on your lock screen, and live job listings. The Practice tab carries 16 tutorials, 10 of them full step-by-step walkthroughs you read inside the app, covering Amazon Bedrock, Azure AI Foundry, Vertex AI, prompt engineering and RAG, and the coding agents professionals use daily. NATIVE, PRIVATE AND QUIET Siri Shortcuts let you say "Practice offline" to start a session. Daily study reminders are scheduled locally by iOS. Dark mode is supported throughout. Your quiz history, streak and review queue are stored on your device and never uploaded. There is no account to create, no analytics SDK and no advertising SDK in the app. Want the full question banks and all 18 labs? AI & ML Tutor PRO is our separate paid app. Questions, or a certification you'd like added? https://machinelearningcertification.web.app

The Art of Stat: Machine Learning app includes methods for supervised and unsupervised learning, lets you split data into training and test sets, visualizes all methods, including predictions and heatmaps, and lets you assess the accuracy of your algorithm by showing the confusion matrix and more. Included ML algorithms so far include: - Multiple Linear Regression (including categorical predictors and interactions interactions) - Multiple Logistic Regression (including categorical predictors and interactions interactions) - Discriminant Analysis (Linear & Quadratic) - Naive Bayes - K-Means Clustering Functionality: - Provides various datasets (Palmer Penguins, Wine Quality, Heart Disease, Iris Flowers, Credit Card Defaults, ...) or lets user upload their own CSV file - Split data into training and test sets - Standardize Features - Select continuous and/or categorical features (where appropriate) - Visualize all methods (Scatterplots, Heatmaps), predicted labels or posterior probabilities - Assess accuracy by displaying Confusion Matrix and accuracy statistics (including precision and recall) in multiple ways - Make predictions for new observations Modules in preparation: - Decision Trees & Random Forests - Nearest Neighbor